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Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers
Identifying county-level spatial clusters of fatal accidents due to non-use of seatbelt among drivers 65 years and older can help with injury prevention policies and targeted place-based interventions. We estimated the odds and identified hotspots of fatal accidents among drivers 65 years and older...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741490/ http://dx.doi.org/10.1093/geroni/igaa057.374 |
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author | Adeyemi, Oluwaseun Paul, Rajib Arif, Ahmed |
author_facet | Adeyemi, Oluwaseun Paul, Rajib Arif, Ahmed |
author_sort | Adeyemi, Oluwaseun |
collection | PubMed |
description | Identifying county-level spatial clusters of fatal accidents due to non-use of seatbelt among drivers 65 years and older can help with injury prevention policies and targeted place-based interventions. We estimated the odds and identified hotspots of fatal accidents among drivers 65 years and older (n=57,715) based on a cross-sectional analysis of data from 2010 to 2018 from the Fatality Analysis Reporting System. The outcome variable was fatality status (fatal/non-fatal), and the main independent variable was seatbelt use (not used/used). Other covariates were drunk driving, distracted driving, and speeding while age, gender, and airbag deployment were used as confounders. Rural-urban status of accident location was used as an effect modifier. Odds ratios were calculated from logistic regression. The age-adjusted fatality rate was computed as the crude fatality rate per 100,000 population weighted by the average population composition by age-groups. Spatial autocorrelation was assessed by local Moran’s I, and cluster analysis was performed using the Moran’s I index-derived Z-scores. The median age-adjusted seatbelt-related fatality rate per county was 2.35 per 100,000 population (IQR: 5.60). Not wearing a seatbelt was associated with an 11-fold (Adjusted OR: 11.37; 95% CI: 10.18-12.70) increased odds of a fatal event in metropolitan counties and a 7-fold (Adjusted OR: 7.43; 95% CI: 6.10-9.04) increased odds in rural counties and small towns. Hot spots for seatbelt-related fatal road accidents were found in multiple counties in Texas, South Dakota, and Mississippi. Study findings can be used for county-specific interventions tailored to 65 and older for preventing fatal road accidents. |
format | Online Article Text |
id | pubmed-7741490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77414902020-12-21 Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers Adeyemi, Oluwaseun Paul, Rajib Arif, Ahmed Innov Aging Abstracts Identifying county-level spatial clusters of fatal accidents due to non-use of seatbelt among drivers 65 years and older can help with injury prevention policies and targeted place-based interventions. We estimated the odds and identified hotspots of fatal accidents among drivers 65 years and older (n=57,715) based on a cross-sectional analysis of data from 2010 to 2018 from the Fatality Analysis Reporting System. The outcome variable was fatality status (fatal/non-fatal), and the main independent variable was seatbelt use (not used/used). Other covariates were drunk driving, distracted driving, and speeding while age, gender, and airbag deployment were used as confounders. Rural-urban status of accident location was used as an effect modifier. Odds ratios were calculated from logistic regression. The age-adjusted fatality rate was computed as the crude fatality rate per 100,000 population weighted by the average population composition by age-groups. Spatial autocorrelation was assessed by local Moran’s I, and cluster analysis was performed using the Moran’s I index-derived Z-scores. The median age-adjusted seatbelt-related fatality rate per county was 2.35 per 100,000 population (IQR: 5.60). Not wearing a seatbelt was associated with an 11-fold (Adjusted OR: 11.37; 95% CI: 10.18-12.70) increased odds of a fatal event in metropolitan counties and a 7-fold (Adjusted OR: 7.43; 95% CI: 6.10-9.04) increased odds in rural counties and small towns. Hot spots for seatbelt-related fatal road accidents were found in multiple counties in Texas, South Dakota, and Mississippi. Study findings can be used for county-specific interventions tailored to 65 and older for preventing fatal road accidents. Oxford University Press 2020-12-16 /pmc/articles/PMC7741490/ http://dx.doi.org/10.1093/geroni/igaa057.374 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Adeyemi, Oluwaseun Paul, Rajib Arif, Ahmed Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers |
title | Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers |
title_full | Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers |
title_fullStr | Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers |
title_full_unstemmed | Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers |
title_short | Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers |
title_sort | spatial cluster analysis of fatal road accidents from non-use of seat belts among older drivers |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741490/ http://dx.doi.org/10.1093/geroni/igaa057.374 |
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